Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, UK.
Genome Res. 2011 Jul;21(7):1042-54. doi: 10.1101/gr.116681.110. Epub 2011 May 31.
The human major histocompatibility complex (MHC) on chromosome 6p21 is a paradigm for genomics, showing remarkable polymorphism and striking association with immune and non-immune diseases. The complex genomic landscape of the MHC, notably strong linkage disequilibrium, has made resolving causal variants very challenging. A promising approach is to investigate gene expression levels considered as tractable intermediate phenotypes in mapping complex diseases. However, how transcription varies across the MHC, notably relative to specific haplotypes, remains unknown. Here, using an original hybrid tiling and splice junction microarray that includes alternate allele probes, we draw the first high-resolution strand-specific transcription map for three common MHC haplotypes (HLA-A1-B8-Cw7-DR3, HLA-A3-B7-Cw7-DR15, and HLA-A26-B18-Cw5-DR3-DQ2) strongly associated with autoimmune diseases including type 1 diabetes, systemic lupus erythematosus, and multiple sclerosis. We find that haplotype-specific differences in gene expression are common across the MHC, affecting 96 genes (46.4%), most significantly the zing finger protein gene ZFP57. Differentially expressed probes are correlated with polymorphisms between haplotypes, consistent with cis effects that we directly demonstrate for ZFP57 in a cohort of healthy volunteers (P = 1.2 × 10(-14)). We establish that alternative splicing is significantly more frequent in the MHC than genome-wide (72.5% vs. 62.1% of genes, P ≤ 1 × 10(-4)) and shows marked haplotypic differences. We also unmask novel and abundant intergenic transcription involving 31% of transcribed blocks identified. Our study reveals that the renowned MHC polymorphism also manifests as transcript diversity, and our novel haplotype-based approach marks a new step toward identification of regulatory variants involved in the control of MHC-associated phenotypes and diseases.
人类主要组织相容性复合体(MHC)位于 6 号染色体 p21 上,是基因组学的典范,表现出显著的多态性和与免疫及非免疫性疾病的显著关联。MHC 的复杂基因组景观,特别是强连锁不平衡,使得确定因果变异非常具有挑战性。一种很有前途的方法是研究被认为是复杂疾病图谱中可追踪的中间表型的基因表达水平。然而,转录在 MHC 中的变化情况,特别是相对于特定单倍型的变化情况,目前仍不清楚。在这里,我们使用一种原始的杂交嵌合和剪接连接微阵列,该阵列包含了等位基因探针,首次为三种常见的 MHC 单倍型(HLA-A1-B8-Cw7-DR3、HLA-A3-B7-Cw7-DR15 和 HLA-A26-B18-Cw5-DR3-DQ2)绘制了高分辨率的链特异性转录图谱,这些单倍型与包括 1 型糖尿病、系统性红斑狼疮和多发性硬化症在内的自身免疫性疾病密切相关。我们发现,MHC 中基因表达的单倍型特异性差异很常见,影响了 96 个基因(46.4%),其中最显著的是锌指蛋白基因 ZFP57。差异表达的探针与单倍型之间的多态性相关,这与我们在一组健康志愿者中直接证明的 ZFP57 的顺式效应一致(P=1.2×10(-14))。我们确定,MHC 中的选择性剪接比全基因组更为频繁(72.5%与 62.1%的基因,P≤1×10(-4)),并且表现出显著的单倍型差异。我们还揭示了涉及 31%转录模块的新型和丰富的基因间转录。我们的研究表明,著名的 MHC 多态性也表现为转录多样性,我们新的基于单倍型的方法标志着朝着确定与 MHC 相关表型和疾病控制相关的调节变异体的方向迈出了新的一步。